200 citations
- Centre National de la Recherche ScientifiqueFR14 papers
- École Nationale Supérieure d'Ingénieurs de CaenFR9 papers
- Université de Caen NormandieFR7 papers
- CEA Paris-SaclayFR5 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR5 papers
- Direction des EnergiesFR4 papers
- DSM (Netherlands)NL3 papers
- Institut de Mathématiques de Jussieu-Paris Rive GaucheFR2 papers
- Laboratoire AstroParticule et CosmologieFR2 papers
- Laboratoire de Cristallographie et Sciences des MatériauxFR2 papers
- Laboratoire Jean-Alexandre DieudonnéFR2 papers
- Université Paris CitéFR2 papers
4 papers · 2 filters
Deconvolution under Poisson noise using exact data fidelity and synthesis or analysis sparsity priors
François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck
In this paper, we propose a Bayesian MAP estimator for solving the deconvolution problems when the observations are corrupted by Poisson noise. Towards this goal, a proper data fid…
Data augmentation for galaxy density map reconstruction
François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck
The matter density is an important knowledge for today cosmology as many phenomena are linked to matter fluctuations. However, this density is not directly available, but estimated…
Inverse Problems with Poisson noise: Primal and Primal-Dual Splitting
François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck
In this paper, we propose two algorithms for solving linear inverse problems when the observations are corrupted by Poisson noise. A proper data fidelity term (log-likelihood) is i…
Linear inverse problems with noise: primal and primal-dual splitting
François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck
In this paper, we propose two algorithms for solving linear inverse problems when the observations are corrupted by noise. A proper data fidelity term (log-likelihood) is introduce…